John Dones

Architected production-grade AI capabilities for healthcare and practitioner workflows, integrating LLMs, RAG, and agentic workflows. Designed end-to-end RAG pipelines and engineered stateful multi-step AI workflows using LangChain and LangGraph.

Engineered production-grade AI learning features integrating LLMs, RAG, and semantic search into education workflows. Designed and implemented RAG pipelines and built multi-step AI workflows using LangChain and Python.

Led engineering of a high-scale NFT marketplace supporting thousands of collections and millions of NFT assets. Optimized media-heavy interfaces and improved API response times through database query optimization and backend performance engineering.

Led end-to-end development of a high-volume Twitter giveaway platform using Django and React. Architected asynchronous processing pipelines with Redis-backed background workers and processed 100K+ Twitter-related records.

Owned end-to-end development of full-stack applications using React, Node.js, REST APIs, and GraphQL. Built and deployed cloud-based services on AWS with Docker and Kubernetes-based deployment patterns.

Developed full-stack web and mobile applications using JavaScript, React, Node.js, Python/Django, Java/Spring, Kotlin, and Swift. Contributed to application architecture, database design, AWS/GCP deployments, and CI/CD workflows.

Bachelor of Science in Computer Science.